@inproceedings{46327,
  abstract     = {{In online media environments, nostalgia can be used as important ingredient of propaganda strategies, specifically, by creating societal pessimism. This work addresses the automated detection of nostalgic text as a first step towards automatically identifying nostalgia-based manipulation strategies. We compare the performance of standard machine learning approaches on this challenge and demonstrate the successful transfer of the best performing approach to real-world nostalgia detection in a case study.}},
  author       = {{Lena, Clever and Frischlich, Lena and Trautmann, Heike and Grimme, Christian}},
  booktitle    = {{Disinformation in open online media}},
  editor       = {{Grimme, Christian and Preuß, Mike and Takes, Frank and Waldherr, Annie}},
  pages        = {{48–58}},
  title        = {{{Automated detection of nostalgic text in the context of societal pessimism}}},
  year         = {{2020}},
}